Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach

Rachele Hendricks-Sturrup   ¹ , MA, MS, DHSc ;   Malaika Simmons   ¹ , MSHE ;   Shilo Anders   ² , PhD ;   Kammarauche Aneni   ³ , MBBS, MHS ;   Ellen Wright Clayton   ² , MD, JD ;   Joseph Coco   ² , MS ;   Benjamin Collins   ² , MD, MS, MA ;   Elizabeth Heitman   ⁴ , PhD ;   Sajid Hussain   ⁵ , PhD ;   Karuna Joshi   ⁶ , PhD ;   Josh Lemieux   ⁷ ;   Laurie Lovett Novak   ² , PhD ;   Daniel J Rubin   ⁸ , MD, MSc ;   Anil Shanker   ⁹ , PhD ;   Talitha Washington   ¹⁰ , PhD ;   Gabriella Waters   ¹¹ ;   Joyce Webb Harris   ² , MA ;   Rui Yin   ¹² , PhD ;   Teresa Wagner   ¹³ , MS, DrPH ;   Zhijun Yin   ² , MS, PhD ;   Bradley Malin   ² , PhD

¹ National Alliance Against Disparities in Patient Health, Woodbridge, VA, United States

² Vanderbilt University Medical Center, Nashville, TN, United States

³ Yale University, New Haven, CT, United States

⁴ University of Texas Southwestern Medical Center, Dallas, TX, United States

⁵ Fisk University, Nashville, TN, United States

⁶ University of Maryland, Baltimore County, Baltimore, MD, United States

⁷ OCHIN, Portland, OR, United States

⁸ Temple University, Philadelphia, PA, United States

⁹ Meharry Medical College, Nashville, TN, United States

¹⁰ AUC Data Science Initiative, Clark Atlanta University, Atlanta, GA, United States

¹¹ Morgan State University, Center for Equitable AI & Machine Learning Systems, Baltimore, MD, United States

¹² University of Florida, Gainesville, FL, United States

¹³ University of North Texas Health Science Center, SaferCare Texas, Fort Worth, TX, United States